Employees' Behaviors Concerning Metabolic Syndrome Prevention: A Cellphone-Based Text Message Education Intervention

Overview

Journal J Tehran Heart Cent

Publisher Tehran University of Medical Sciences

Specialty Cardiology & Vascular Diseases

Date 2022 Aug 8

PMID 35935555

Authors

Shabnam Didehban

Tahereh Dehdari

Leila Janani

Farzad Masoudkabir

Affiliations

Soon will be listed here.

Abstract

The prevalence of metabolic syndrome (MetSyn) is increasing in Iran. This study was an attempt to determine the effects of a short message service (SMS)-based education intervention on knowledge, attitude, and the adoption of preventive behaviors concerning MetSyn among a sample of employees of Iran University of Medical Sciences (IUMS). In this randomized controlled trial, conducted from January through April 2021, 144 IUMS staff members were assigned either to the intervention group (n=72) or to the control group (n=72). Thirty-two text messages were designed, pretested, and sent to the participants' phones in the intervention group in 32 days. Knowledge, attitude, and the adoption of preventive behaviors vis-à-vis MetSyn were measured in the intervention group before and 1 month after the intervention and compared with those in the control group at the same time points. The data were analyzed using paired t tests and ANCOVA. The mean age of the employees in the intervention and control groups was 42.97±8.80 and 40.81±9.58 years, respectively. The results showed that the mean scores of knowledge (P<0.001), attitude (P<0.001), and the adoption of preventive behaviors regarding MetSyn (P=0.009) were significantly different between the intervention and control groups after the intervention was done via SMS. The results of the present study showed that SMS-based interventions might improve knowledge, attitude, and the adoption of preventive behaviors pertaining to MetSyn among employees.

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References

Salaroli L, Saliba R, Zandonade E, Molina M, Bissoli N . Prevalence of metabolic syndrome and related factors in bank employees according to different defining criteria, Vitória/ES, Brazil. Clinics (Sao Paulo). 2013; 68(1):69-74. PMC: 3552453. DOI: 10.6061/clinics/2013(01)oa11. View

van Namen M, Prendergast L, Peiris C . Supervised lifestyle intervention for people with metabolic syndrome improves outcomes and reduces individual risk factors of metabolic syndrome: A systematic review and meta-analysis. Metabolism. 2019; 101:153988. DOI: 10.1016/j.metabol.2019.153988. View

Lewis S, Rodbard H, Fox K, Grandy S . Self-reported prevalence and awareness of metabolic syndrome: findings from SHIELD. Int J Clin Pract. 2008; 62(8):1168-76. PMC: 2657994. DOI: 10.1111/j.1742-1241.2008.01770.x. View

Alali A, Albagshi N, Albin Alshaikh S, Almubarak A . Primary care physicians' knowledge, attitudes and practices related to metabolic syndrome screening and management in Alahsa, Saudi Arabia. Diabetes Metab Syndr. 2019; 13(4):2689-2697. DOI: 10.1016/j.dsx.2019.07.034. View

Alefishat E, Abu Farha R, Al-Debei M . Self-Reported Adherence among Individuals at High Risk of Metabolic Syndrome: Effect of Knowledge and Attitude. Med Princ Pract. 2016; 26(2):157-163. PMC: 5588355. DOI: 10.1159/000453037. View

Bassi N, Karagodin I, Wang S, Vassallo P, Priyanath A, Massaro E . Lifestyle modification for metabolic syndrome: a systematic review. Am J Med. 2014; 127(12):1242.e1-10. DOI: 10.1016/j.amjmed.2014.06.035. View

Kim C, Schlenk E, Kang S, Park J . Effects of an internet-based lifestyle intervention on cardio-metabolic risks and stress in Korean workers with metabolic syndrome: a controlled trial. Patient Educ Couns. 2014; 98(1):111-9. DOI: 10.1016/j.pec.2014.10.013. View

Saklayen M . The Global Epidemic of the Metabolic Syndrome. Curr Hypertens Rep. 2018; 20(2):12. PMC: 5866840. DOI: 10.1007/s11906-018-0812-z. View

Abbasi A, Araban M, Heidari Z, Alidosti M, Zamani-Alavijeh F . Development and psychometric evaluation of waste separation beliefs and behaviors scale among female students of medical sciences university based on the extended parallel process model. Environ Health Prev Med. 2020; 25(1):12. PMC: 7164206. DOI: 10.1186/s12199-020-00849-6. View

10.

Goodarzi M, Ebrahimzadeh I, Rabi A, Saedipoor B, Jafarabadi M . Impact of distance education via mobile phone text messaging on knowledge, attitude, practice and self efficacy of patients with type 2 diabetes mellitus in Iran. J Diabetes Metab Disord. 2013; 11(1):10. PMC: 3598175. DOI: 10.1186/2251-6581-11-10. View

11.

Hollman Frisman G, Bertero C . Having knowledge of metabolic syndrome: does the meaning and consequences of the risk factors influence the life situation of Swedish adults?. Nurs Health Sci. 2009; 10(4):300-5. DOI: 10.1111/j.1442-2018.2008.00418.x. View

12.

Clark R, Pua Y, Oliveira C, Bower K, Thilarajah S, McGaw R . Reliability and concurrent validity of the Microsoft Xbox One Kinect for assessment of standing balance and postural control. Gait Posture. 2015; 42(2):210-3. DOI: 10.1016/j.gaitpost.2015.03.005. View

13.

Nyenwe E, Dagogo-Jack S . Metabolic syndrome, prediabetes and the science of primary prevention. Minerva Endocrinol. 2011; 36(2):129-45. View

14.

Shahil Feroz A, Ali N, Saleem S . Assessing mobile phone access, usage, and willingness among women to receive voice message-based mobile health intervention to improve antenatal care attendance in district Thatta, Sindh, Pakistan. Reprod Health. 2020; 17(1):104. PMC: 7336476. DOI: 10.1186/s12978-020-00956-1. View

15.

Orchard T, Temprosa M, Goldberg R, Haffner S, Ratner R, Marcovina S . The effect of metformin and intensive lifestyle intervention on the metabolic syndrome: the Diabetes Prevention Program randomized trial. Ann Intern Med. 2005; 142(8):611-9. PMC: 2505046. DOI: 10.7326/0003-4819-142-8-200504190-00009. View

16.

Wu Y, Liang Y, Zhou Q, Liu H, Lin G, Cai W . Effectiveness of a short message service intervention to motivate people with positive results in preliminary colorectal cancer screening to undergo colonoscopy: A randomized controlled trial. Cancer. 2019; 125(13):2252-2261. DOI: 10.1002/cncr.32043. View

17.

Kalan Farmanfarma K, Kaykhaei M, Adineh H, Mohammadi M, Dabiri S, Ansari-Moghaddam A . Prevalence of metabolic syndrome in Iran: A meta-analysis of 69 studies. Diabetes Metab Syndr. 2019; 13(1):792-799. DOI: 10.1016/j.dsx.2018.11.055. View

18.

Zhu S, St-Onge M, Heshka S, Heymsfield S . Lifestyle behaviors associated with lower risk of having the metabolic syndrome. Metabolism. 2004; 53(11):1503-11. DOI: 10.1016/j.metabol.2004.04.017. View

19.

Bonora E . The metabolic syndrome and cardiovascular disease. Ann Med. 2006; 38(1):64-80. DOI: 10.1080/07853890500401234. View

20.

Bobrow K, Brennan T, Springer D, Levitt N, Rayner B, Namane M . Efficacy of a text messaging (SMS) based intervention for adults with hypertension: protocol for the StAR (SMS Text-message Adherence suppoRt trial) randomised controlled trial. BMC Public Health. 2014; 14:28. PMC: 3909351. DOI: 10.1186/1471-2458-14-28. View